Scott Marek is assistant professor of radiology in the Mallinckrodt Institute of Radiology at Washington University School of Medicine in St. Louis. Marek received a Ph.D. in neuroscience from the University of Pittsburgh, where he gained expertise in pediatric neuroimaging with Beatriz Luna. Subsequently, he completed a postdoctoral fellowship with Nico Dosenbach at Washington University School of Medicine, where he gained expertise in functional mapping of individual brains and leveraging big data to quantify the reproducibility of brain-wide association studies. He now runs his own lab focused on precision imaging and deep phenotyping of adolescent twins with depression, as well as population neuroscience approaches using large datasets, such as the Adolescent Brain Cognitive Development (ABCD) Study.
Scott Marek
Assistant professor of radiology
Washington University School of Medicine in St. Louis
From this contributor
Breaking down the winner’s curse: Lessons from brain-wide association studies
We found an issue with a specific type of brain imaging study and tried to share it with the field. Then the backlash began.
Breaking down the winner’s curse: Lessons from brain-wide association studies
Explore more from The Transmitter
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.